ABS Challenge Policy
Research in Progress
Develops an optimal challenge policy for MLB's automated ball-strike system by quantifying the run value of challenged and unchallenged calls.
Featured work from seminar students.
Research in Progress
Develops an optimal challenge policy for MLB's automated ball-strike system by quantifying the run value of challenged and unchallenged calls.
2026 CSAS Data Challenge Winner
A win-probability framework for power play deployment in mixed-doubles curling. Developed for the 2026 CSAS Data Challenge.
2026 HALO Hackathon Finalist
Introduces a novel player-level forechecking metric for hockey. Developed for the 2026 HALO Hackathon.
In Review at JQAS
An expected-points framework for rugby union with applications to penalty decisions.